Data Scientist @ Rolls-Royce
Data Scientist at Rolls-Royce, with an impressive track record in Artificial Intelligence (AI) and Natural Language Processing (NLP). AI blogger with close to 50 blogs published, sharing insights and knowledge on emerging trends in the field. Completed MTech in Data Science & ML from PES University and worked as a Python Developer at Wipro, where I gained two years of experience in software development.
At Rolls-Royce, applying expertise to the field of Aerospace and Aircraft Engines to help improve performance and drive innovation in the industry. Currently, I'm working on Knowledge Graphs and how to reduce fuel consumption and engine damage.
Building ML models.
Skills: Python, Machine Learning, Deep Learning
August 2022 - Present
DATA SCIENCE INTERN, FLEEK
May 2022 - July 2022
End-to-end experimenting and developement of SMS and E-mail Parser: Requirement gathering, codebase of GitHub, DVC, NumPy style documentation, Sphinx documentation.
In-depth research and documentation on MLOps tools & techniques to monitor models in production.
Models: SentencePiece, Casual Language Modeling, Named Entity Recognition, Cosine Similarity Clustering
Skills: Python, PyTorch, Machine Learning, NLP, MLOps, DVC, Sphinx, Git
DATA SCIENCE INTERN,
November 2021 - April 2022
Single-handedly built a Recommendation System for Vending Machines on 2+ million live sale data.
This project aims to help the vending machine operator to gain optimal sales by addressing three central questions: what product to stock when to stock up, and what location to stock.
Combining time-series forecasting, machine learning, and data mining techniques.
I created an ensemble forecasting algorithm for time series.
Models: Exponential Smoothing, ARIMA, Apriori, Association Rule
Skills: MLOps, DVC, Sphinx, NLP, Git, Machine Learning, Python
June 2021 - Present
Produce high-quality, highly technical articles and other technical work in the field of machine learning & artificial intelligence.
Skills: Data Science, Editing, Technical Writing, Machine Learning
SOFTWARE ENGINEER, MACHINE LEARNING (INTERN),
December 2021 - June 2021
Writing, coding, and developing state-of-the-art Data Science and Machine Learning tutorials like :
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Support Vector Machine (SVM) Introduction — Machine Learning
Skills: Data Science · Writing · Editing · Machine Learning
PROJECT ENGINEER, WIPRO LIMITED
June 2019 - October 2020
Intelligent Factory Assessment and Recommendation Tool. The tool takes an analytical approach and provides the Intelligent Factory Index, which in turn comprises Connected, Contextual, Optimized, and Self Aware Indices.
Coordinated with hardware and system engineering leads to gather and develop system requirements.
Designed, implemented, and monitored web pages and sites for continuous improvement.
Skills: Python scripting, Statistics, analytics, Flask framework.
July 2020 - August 2022
MASTERS OF TECHNOLOGY IN DATA SCIENCE AND MACHINE LEARNING,
Achievements: Thesis work in partnership with MSys Technologies on an experimental project.
August 2015 - July 2019
BACHELOR OF ENGINEERING IN COMPUTER SCIENCE,
RNS INSTITUTE OF TECHNOLOGY
Visvesvaraya Technological University
No backlog history.
January 2013 - March 2015
SENIOR SECONDARY EDUCATION IN SCIENCE,
VISION PU COLLEGE
Karnataka State Board
Physics, Chemistry, Mathematics, and Biology
June 2011 - March 2012
BASAVESHWAR INTERNATIONAL PUBLIC SCHOOL
Central Board of Secondary Education
Two years of industry experience. I'm friends with Python for 5+ years.
Visualizing data with Tableau. Business insights with Pandas, Seaborn, Plotly.
Natural Language Processing
Proficiency in TensorFlow and PyTorch, Gensem, NLTK. Projects on Text analysis, text classification, text generation
Technical Blogger is my passion. Freelancing with US clients. Created amazing ML tutorials.
Worked on various projects involving different ML algorithms including regression, classification, recommendation.
Proficiency in TensorFlow and PyTorch. Projects on CNN, GAN, Object Detection/Localization
Built projects to make statistical business decisions. Published simple tutorial to make Hypothesis testing easier.
Hands-on MySQL Workbench. Projects demonstrating complex queries and window functions.
Industry experience in working with Flask, HTML, CSS, Jquery, JSON, and AJAX.
WHAT I CAN OFFER YOU
This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will also explore the different methods involved in each step diagrammatically. As always, we are including code for reproducibility purposes. We have split the code when required while exploring the different steps involved during our implementation.